Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...

In data analysis, time series forecasting relies on various machine learning algorithms, each with its own strengths. However, we will talk about two of the most used ones. Long Short-Term Memory ...

The accurate prediction of influent flow rates at wastewater treatment plants is important for the proper operation of treatment facilities. The influent flow refers to the untreated water coming into ...

Artificial intelligence (AI) is transforming our world, but within this broad domain, two distinct technologies often confuse people: machine learning (ML) and generative AI. While both are ...

The rapid expansion of large language models' (LLMs) capabilities—including web search, code execution, data analysis and ...

Ben Shipway and Caroline Bain are Strategic Heads, leading model development teams at the Met Office. In this blog, they outline the potential future blend of AI and physics-based models, as well as ...